ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors
By Ramanathan Subramanian, Julia Wache, Mojtaba Khomami Abadi, Radu L. Vieriu, Stefan Winkler, Nicu Sebe. IEEE Transactions on Affective Computing, 2018
465 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/b11b71b704629357fe13ed97b216b9554b0e7463
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Arturas Kaklauskas
- Vytautas Bucinskas
- Andrius Dzedzickis
- Nicu Sebe
- Mojtaba Khomami Abadi
- Pritam Sarkar
- Jason Teo
- James Mountstephens
In Experimental and Cognitive Psychology
- Pritam Sarkar
- Ali Etemad
- Mojtaba Khomami Abadi
- Arturas Kaklauskas
- Vytautas Bucinskas
- Andrius Dzedzickis
- Nicu Sebe
- Victoria Blanes-Vidal
Citations in the corpus
- Self-Supervised ECG Representation Learning for Emotion Recognition (2020, background): “be a reliable source of information to classify the emotional states of humans [3], [10], [17], [33].”
- AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups (2017, background): “A recent multimodal database for implicit personality and affect recognition is the ASCERTAIN [28].”
- Human Emotion Recognition: Review of Sensors and Methods (2020, methodology): “High/low valence and arousal GSR, EEG, ECG, HRV, facial expressions GSR sensor, ECG sensor, EEG sensor, webcam to record facial activity Lucid Scribe software [179]”
- EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities (2020, background): “As for video-related contents, SEED [124–126], DREAMER [127], and ASCERTAIN [107] do provide their video database either openly or upon request.”
- Physiological Signals-based Emotion Recognition via High-order Correlation Learning (2019, methodology): “To ensure the accuracy and effectiveness of collected data, non-intrusive sensors are often employed in collecting physiological signals so that the influence of equipment on emotions and body movements of subjects could be reduced to the minimum extent possible [38].”
- Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations (2023, methodology): “Emotions have also been detected using ECG signals, which use only three channels [65,67,81, 181].”